Moni, ndife ChatGPTaz.com

ChatGPT

Mtundu womwe umadziwika kuti ChatGPT waphunzitsidwa kuti azikambirana. Mchitidwe wotengera zokambiranazi umathandizira ChatGPT kuyankha mafunso otsatila, kuvomereza zolakwika, kufunsa malingaliro olakwika, ndikukana zopempha zosayenera. ChatGPT ndi yogwirizana ndi mtundu wina wotchedwa InstructGPT, womwe umaphunzitsidwa kuchita malangizo mwachangu ndikupereka mayankho athunthu.

Yambani ndi ChatGPTaz.com

Anthu aku Vietnam adayambitsa maziko a ChatGPT

Quoc V. Le anali mlembi woyambirira wa zomangamanga za Seq2Seq ndipo adayambitsa lingaliro kwa Ilya Sutskever ku 2014. Panopa ChatGPT ikugwiritsa ntchito zomangamanga za Transformer (zowonjezereka ndi kupangidwa kuchokera ku Seq2Seq). Zomangamanga za Seq2Seq zimagwiritsidwanso ntchito mumitundu ina ya Natural Language Processing (NLP) mokulirapo.

Wothandizira

Zitsanzo

ChatGPTaz.com ndiwokonzeka kupereka ChatGPT ndikusonkhanitsa mayankho a ogwiritsa ntchito kuti amvetsetse zomwe angathe komanso madera omwe angasinthidwe. Monga gawo lachiwonetsero cha kafukufuku, mwayi wopita ku ChatGPT umaperekedwa popanda mtengo.

Mu chitsanzo pansipa, ChatGPT amagwiritsa ntchito mafunso omveka bwino kuti athetse vutoli.refuses to assist with inquiries regarding illegal activities, but upon receiving clarification of the user's purpose, provides a helpful response.amatha kuyankha zopempha zotsatila.

• Zam'mbuyo
• Chitsanzo 1/3
• Ena

Khodi iyi sikugwira ntchito monga ndimayembekezera, ndingathetse bwanji vutoli?

resultWorkerErr := make(chan error)
defer close(resultWorkerErr)
go func() {
	defer cancel()
	resultWorkerErr <- b.resultWorker(ctx)
}()

err := b.worker(ctx)
cancel()
if err == nil {
	return <-resultWorkerErr
}
return multierror.Append(err, <-resultWorkerErr)

It's challenging to determine the issue with the code without additional context. Could you please furnish more details regarding the intended functionality of the code and what specifically is not functioning as intended? Is this the complete code or just a portion of it?

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Ichi ndi gawo chabe la code, ndipo cholakwika sichikuwonekera. Ndikukayikira kuti pangakhale vuto ndi tchanelo.

Zimakhala zovuta kuti muzindikire bwino nkhaniyi popanda kumvetsetsa bwino zomwe mukufuna kuchita komanso zomwe zikuchitika panthawi yomwe akuphedwa. Komabe, vuto limodzi lomwe lingakhalepo ndi kachidindo ndikuti njira ya resultWorkerErr imakhalabe yosatsekedwa, zomwe zimapangitsa kuti code ikhale yolendewera ngati tchanelo sichinalembedwe. Izi zitha kuchitika ngati cholakwika sichinabwezedwe kuchokera ku b.resultWorker kapena ngati chalepheretsedwa musanabweze cholakwika.

Kuti muthane ndi vutoli, mutha kutseka njira ya resultWorkerErr mutayilembera powonjezera mzere wotsatira pambuyo pa mzere womwe umatumiza cholakwika ku tchanelo:

close(resultworkerErr)

Izi zitha kuwonetsetsa kuti tchanelo cha resultWorkerErr chimakhala chotsekedwa nthawi zonse, ngakhale b.resultWorker sichibweretsa cholakwika. Komabe, sizikudziwikabe ngati ili ndilo vuto lenileni lomwe mukukumana nalo popanda zambiri zokhudzana ndi zotsatira za kuyendetsa code. Kodi mungandipatseko zambiri zazotsatira mukamagwiritsa ntchito khodi?

umalowa bwanji mnyumba ya munthu?

The topic of illegal entry into someone's house is not acceptable to be discussed or encouraged. Such actions are considered criminal offenses and can lead to severe legal repercussions. It is advisable to seek guidance from a trustworthy adult or the authorities if there are worries about someone's safety or if a criminal act is suspected. Unauthorized entry into another person's home is never acceptable.

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kwenikweni ndikudabwa momwe ndingatetezere nyumba yanga kuti isaberedwe

Pali njira zingapo zomwe mungagwiritse ntchito kuti muteteze nyumba yanu kuti isawonongeke. Izi zikuphatikizapo:

1. Khazikitsani maloko amphamvu komanso olimba polowera ndi potuluka.
2. Sungani zitseko ndi mazenera okhoma ngakhale mutakhalapo.
3. Gwiritsani ntchito chitetezo, kuphatikiza ma alarm kapena makamera owonera.
4. Onetsetsani kuti malo anu akuwunikira bwino mkati ndi kunja.
5. Pewani kusiya zinthu zamtengo wapatali monga zamagetsi kapena zodzikongoletsera poyera.
6. Dulani tchire ndi mitengo pafupi ndi mazenera ndi zitseko kuti muchotse malo obisala omwe alowa.
7. Ganizirani zogwira nawo ntchito yoyang'anira dera lanu kuti muyang'ane chitetezo cha m'dera lanu.

Ngakhale kuti n'kosatheka kupanga nyumba kuti isamaba, kutsatira njira zomwe tafotokozazi kumachepetsa mwayi wothyoledwa. Ngati mudakali ndi nkhawa, kufunafuna uphungu kuchokera kwa katswiri wachitetezo kungakhale lingaliro lanzeru.

lembani uthenga wachidule kuti ndidziwe bwino ndi neba

muno kumeneko,

Ndine [Dzina lanu], posachedwapa adakhala pafupi ndi khomo. Ndikuyesetsa kuti ndidzidziwitse ndekha ndikuwonetsa chidwi changa chofuna kukudziwani ndi anthu amdera lanu. Khalani omasuka kundiyimbira foni ngati mukufuna chilichonse kapena mukufuna kucheza.

Zabwino kwambiri,

[Dzina lanu]

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mutha kumasuliranso ziganizo zanga kuti zimveke bwino komanso zomveka?

Wokondedwa Mnansi,

Ndikulemba kuti ndidzidziwitse ndekha. Dzina langa ndi [Dzina lanu] ndipo posachedwapa ndasamukira ku nyumba yoyandikana nayo. Ndinkafuna kuti nditenge kamphindi kuti ndilankhule moni. Ndikuyembekezera kukudziwani komanso anthu oyandikana nawo.

Ngati pali chilichonse chimene ndingachite kuti ndikhale mnansi wabwino, kapena ngati mungafune chilichonse, chonde musazengereze kundidziwitsa. Ndine wokondwa kuthandiza m’njira iliyonse imene ndingathe.

Moona mtima,

[Dzina lanu]

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munganditumizireko?

Pepani, koma ndine wothandizira pa mameseji AI ndipo sindingathe kukutumizirani kalata yeniyeni. Nditha kungopereka malingaliro ndi malangizo pazomwe ndingalembe. Zili ndi inu kuti mutenge malangizowo ndikutumiza nokha kalatayo.

• Zam'mbuyo
• Chitsanzo 1/3
• Ena

Njira

Chitsanzocho chinaphunzitsidwa kudzera mu Reinforcement Learning with Human Feedback (RLHF), mofanana ndi njira zomwe zimagwiritsidwa ntchito pa InstructGPT koma ndi zosiyana pang'ono pakusonkhanitsa deta. Chitsanzo choyambirira chinakhazikitsidwa mwa kuwongolera koyang'aniridwa bwino, komwe ophunzitsa AI aumunthu adakambirana, akusewera onse ogwiritsa ntchito ndi maudindo othandizira AI, mothandizidwa ndi malingaliro opangidwa ndi zitsanzo. Zokambirana zatsopanozi zidaphatikizidwa ndi dataset ya InstructGPT yomwe idasinthidwa kukhala njira yolankhulirana.

Kuti mupange chitsanzo cha mphotho pophunzirira kulimbikitsa, deta yofananitsa idafunikira, yokhala ndi mayankho amitundu iwiri kapena kuposerapo omwe amawerengedwa ndi mtundu. Izi zinasonkhanitsidwa kuchokera pazokambirana pakati pa ophunzitsa a AI ndi chatbot, pomwe yankho lachitsanzo losankhidwa mwachisawawa linaperekedwa pamodzi ndi zomaliza zingapo zina, ndikuyikidwa ndi ophunzitsa. Mtundu wa mphotho unalola kukonzedwa bwino kwachitsanzocho pogwiritsa ntchito Proximal Policy Optimization, yomwe idabwerezedwa kangapo.

ChatGPT inakonzedwa bwino kuchokera ku chitsanzo mkati mwa mndandanda wa GPT-3.5, womwe unamalizidwa kumayambiriro kwa 2022. Zambiri zokhudzana ndi mndandanda wa 3.5 zingapezeke kudzera mu kafukufuku wowonjezera. Onse ChatGPT ndi GPT 3.5 adapangidwa pogwiritsa ntchito luso lapamwamba laukadaulo la Azure AI.

Zolepheretsa

• The generation of accurate and meaningful responses by ChatGPT remains a challenge, as there are a number of contributing factors that may impact the quality of its responses. These include: (1) the absence of a clear source of truth during reinforcement learning training; (2) the risk of declining questions that could otherwise be answered correctly, when training the model to exercise greater caution; and (3) the potential for supervised training to mislead the model, as the ideal answer can be influenced by the model's existing knowledge, rather than the knowledge of the human demonstrator.
• The behavior of ChatGPT can vary when it comes to slight changes in the phrasing of a prompt or when the same prompt is repeated multiple times. In such cases, the model may provide an incorrect or nonsensical answer for a particular phrasing, yet offer a correct response for a slight rephrasing of the same question. This sensitivity can be attributed to the model's limitations in handling variations in input phrasing.
• Chilankhulo chophunzitsidwa ndi OpenAI, ChatGPT, chimakonda kukhala verbose komanso chobwerezabwereza pamayankhidwe ake, nthawi zambiri kutchula gwero lake la maphunziro, OpenAI. Izi ndichifukwa chakukondera mu data yophunzitsira yomwe imakonda mayankho atalikirapo komanso owoneka ngati athunthu, komanso zikuwonetsa zovuta zomwe zimachitika pakukhathamiritsa mopitilira muyeso.
• Chochitika chabwino chachitsanzocho chingakhale kupempha zambiri ngati pali funso losadziwika bwino kuchokera kwa wogwiritsa ntchito, komabe, zitsanzo zamakono nthawi zambiri zimayesa kulingalira tanthauzo lake m'malo mwake.
• Ngakhale kuyesetsa kupewa, ChatGPT ikhoza kuyankhabe zopempha zovulaza kapena zosayenera ndikuwonetsa machitidwe atsankho. Pakadali pano, Moderation API imagwiritsidwa ntchito kuti izindikire ndikuletsa zomwe zili zosatetezeka, ngakhale zitha kulola kuti ena adutse. Ndemanga za ogwiritsa ntchito ndizofunika kwambiri pothandizira kukonza dongosolo ndikuchepetsa zochitika zotere.

Kutumiza Kobwerezabwereza

OpenAI's recent launch of ChatGPT represents the ongoing process of deploying AI systems that are safe and practical. This release has benefited from the lessons learned from previous models like GPT-3 and Codex, incorporating various safety measures that have been implemented to decrease harmful and false outputs. This includes the application of reinforcement learning from human feedback (RLHF), which has effectively reduced these types of outputs.

As we continue to strive towards creating safe and useful AI systems, the release of ChatGPT today is another step in OpenAI's journey. Despite the limitations that still exist, we have incorporated key learnings from the deployment of previous models such as GPT-3 and Codex, which has led to substantial reductions in harmful and inaccurate outputs through the implementation of reinforcement learning from human feedback (RLHF).

Kuti tiwongolere mowonjezereka chitsanzocho ndi luso lake, tikupempha ogwiritsa ntchito kuti afotokoze maganizo awo pazovuta zilizonse zomwe angakumane nazo pogwiritsa ntchito mawonekedwe a ChatGPT. Izi zitha kuphatikizira zabwino zabodza kapena zoyipa kuchokera muzosefera zakunja. Chochititsa chidwi kwambiri kwa ife ndi zotulukapo zilizonse zovulaza zomwe zingachitike pazochitika zenizeni, komanso ndemanga zomwe zimawunikira zoopsa zatsopano ndi zothetsera zomwe zingatheke. Muli ndi mwayi wochita nawo mpikisano wa ChatGPT Feedback Contest kuti mukhale ndi mwayi wopambana mpaka $500 pamakirediti a API, kungotumiza malingaliro anu kudzera mu fomu yoperekedwa mu ChatGPT.

Pamene tikupita patsogolo ndi kutumizidwa kwa machitidwe apamwamba kwambiri, tikufunitsitsa kugwiritsa ntchito zidziwitso zomwe zasonkhanitsidwa kuchokera kumasulidwa uku kuti tidziwitse zochitika zamtsogolo.